--- license: cc-by-nc-4.0 tags: - not-for-all-audiences - nsfw - llama-cpp - gguf-my-repo base_model: NeverSleep/Lumimaid-v0.2-8B --- # Triangle104/Lumimaid-v0.2-8B-Q4_K_M-GGUF This model was converted to GGUF format from [`NeverSleep/Lumimaid-v0.2-8B`](https://huggingface.co/NeverSleep/Lumimaid-v0.2-8B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. Refer to the [original model card](https://huggingface.co/NeverSleep/Lumimaid-v0.2-8B) for more details on the model. --- Model details: - This model is based on: Meta-Llama-3.1-8B-Instruct Wandb: https://wandb.ai/undis95/Lumi-Llama-3-1-8B?nw=nwuserundis95 Lumimaid 0.1 -> 0.2 is a HUGE step up dataset wise. As some people have told us our models are sloppy, Ikari decided to say fuck it and literally nuke all chats out with most slop. Our dataset stayed the same since day one, we added data over time, cleaned them, and repeat. After not releasing model for a while because we were never satisfied, we think it's time to come back! Prompt template: Llama-3-Instruct <|begin_of_text|><|start_header_id|>system<|end_header_id|> {system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|> {input}<|eot_id|><|start_header_id|>assistant<|end_header_id|> {output}<|eot_id|> Credits: - Undi IkariDev Training data we used to make our dataset: Epiculous/Gnosis ChaoticNeutrals/Luminous_Opus ChaoticNeutrals/Synthetic-Dark-RP ChaoticNeutrals/Synthetic-RP Gryphe/Sonnet3.5-SlimOrcaDedupCleaned Gryphe/Opus-WritingPrompts meseca/writing-opus-6k meseca/opus-instruct-9k PJMixers/grimulkan_theory-of-mind-ShareGPT NobodyExistsOnTheInternet/ToxicQAFinal Undi95/toxic-dpo-v0.1-sharegpt cgato/SlimOrcaDedupCleaned kalomaze/Opus_Instruct_25k Doctor-Shotgun/no-robots-sharegpt Norquinal/claude_multiround_chat_30k nothingiisreal/Claude-3-Opus-Instruct-15K All the Aesirs dataset, cleaned, unslopped All le luminae dataset, cleaned, unslopped Small part of Airoboros reduced We sadly didn't find the sources of the following, DM us if you recognize your set ! Opus_Instruct-v2-6.5K-Filtered-v2-sharegpt claude_sharegpt_trimmed CapybaraPure_Decontaminated-ShareGPT_reduced Datasets credits: - Epiculous ChaoticNeutrals Gryphe meseca PJMixers NobodyExistsOnTheInternet cgato kalomaze Doctor-Shotgun Norquinal nothingiisreal Others - Undi: If you want to support us, you can here. IkariDev: Visit my retro/neocities style website please kek --- ## Use with llama.cpp Install llama.cpp through brew (works on Mac and Linux) ```bash brew install llama.cpp ``` Invoke the llama.cpp server or the CLI. ### CLI: ```bash llama-cli --hf-repo Triangle104/Lumimaid-v0.2-8B-Q4_K_M-GGUF --hf-file lumimaid-v0.2-8b-q4_k_m.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo Triangle104/Lumimaid-v0.2-8B-Q4_K_M-GGUF --hf-file lumimaid-v0.2-8b-q4_k_m.gguf -c 2048 ``` Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well. Step 1: Clone llama.cpp from GitHub. ``` git clone https://github.com/ggerganov/llama.cpp ``` Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux). ``` cd llama.cpp && LLAMA_CURL=1 make ``` Step 3: Run inference through the main binary. ``` ./llama-cli --hf-repo Triangle104/Lumimaid-v0.2-8B-Q4_K_M-GGUF --hf-file lumimaid-v0.2-8b-q4_k_m.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo Triangle104/Lumimaid-v0.2-8B-Q4_K_M-GGUF --hf-file lumimaid-v0.2-8b-q4_k_m.gguf -c 2048 ```